ABSTRACT
The Internet of Things (IoT) paradigm is changing how people do business by interacting and connecting with things around them. IoT in industrial applications enables the connections between various architectures to provide better efficiency and flexibility. The Industrial Internet of Things brings potential innovation in multiple industries such as manufacturing, energy, transportation, agriculture, and healthcare. Industrial IoT is enabled by various technologies like sensors, big data, cloud, fog, machine learning, and deep learning. The emergence of all these technologies leads industries to enhance productivity, automate the manufacturing process, improve connectivity, scalability, cost-effectiveness, and decision-making tasks. Recently, privacy and security seem to be significant challenges in industrial IoT applications. Therefore, an in-depth review is needed to identify the various challenges in bringing IoT into industries. Hence, this book chapter gives an overview of various Industrial IoT applications in different sectors. It is also focused on significant technologies and architectural frameworks in Industrial IoT applications. Finally, this chapter presents the current technological challenges in developing Industrial IoT applications, which helps researchers pave the way and solve these challenges in the future.
